For this post, we are seeking candidates with expertise in weather/chemistry transport modelling, and satellite data analysis and visualisation. The applicant must have experience working with the Weather Research and Forecasting model with Chemistry (WRF-Chem) and/or the Comprehensive Air Quality Model with Extensions (CAMx) on High-Performance Computing (HPC) platforms. She/he should also have experience working with satellite datasets (e.g. MODIS and TROPOMI) and should be proficient in high-level programming languages for data processing.

The Senior Associate will work on WRF-CAMx and/or WRF-Chem modelling systems to perform model inter-comparison and validation using satellite/ground-based measurements, make adjustments to the model setup to improve model performance, and assist in preparing model inputs for use in reduced-complexity model(s).

Responsibilities

•  Develop, configure, and optimise regional-scale chemical transport models (e.g. WRF-Chem and WRF-CAMx) on HPCs.
• Analyse and validate model outputs against ground-based and satellite measurements.
• Create data visualisations and effectively communicate findings to both technical and non-technical audiences.
• Generate new ideas leading to project proposals and contribute to/lead project reports/journal articles/Op-Eds, etc.
• Participate in relevant conferences and workshops, as required.

Qualifications

• PhD in a discipline related to air pollution, atmospheric chemistry, meteorology, or equivalent.
• Should have studied chemistry/atmospheric chemistry and meteorology as part of the Master’s degree/PhD coursework.
• Minimum two years of research experience in WRF-Chem, CAMx and/or any chemical transport model during PhD.

Skills set

• Experience with CTMs: Hands-on experience with WRF-Chem/WRF-CAMx, or similar CTMs.
• Data Analysis Skills: Ability to analyse model outputs and validate them with measurement data using statistical methods
• Programming Skills: Proficiency in Python for data analysis and visualisation, shell scripting for running models, FORTRAN to debug model code.
• High-Performance Computing: Familiarity with Linux/Unix and running CTM simulations on HPC systems.
• Ability to handle large volume of datasets (NetCDF, HDF, GRIB, ASCII, geo-referenced data).
• Should have published peer-reviewed journal articles in international journals.
• Excellent written and verbal communication skills for presenting findings, writing reports/journal articles, and contributing to proposals.

We are looking for a passionate Full-Stack Web Developer who is motivated to combine the art of design with software development skills to build web applications and tools in the AI and Digital Platforms sector. This team is leading the efforts for digital transformation to enable India’s clean energy transition and ensure clean air and a secure and sustainable future for all. The role will involve building and translating UI/UX design wireframes into responsive, high-performance code and developing APIs to support seamless functionality. Collaboration with other developers will be expected, with an active role taken in shaping both the visual design and functional architecture of the application. A strong commitment to problem-solving and the delivery of high-quality, user-centric products will be essential.

Responsibilities

• Determine the structure and design of web pages and develop, test, and maintain software applications using Angular.js and Spring Hibernate
• Create high-quality mockups and prototypes
• Build reusable code and libraries for future use
• Balance functionality with aesthetic design
• Optimise applications for maximum speed and scalability
• Collaborate with web designers to enhance usability
• Ensure web designs are responsive and mobile-optimised
• Identify and fix bugs; continuously improve application performance
• Write functional requirement documents and user guides
• Maintain high graphic standards and ensure brand consistency
• Provide support to team members across various projects as needed

Qualifications

BE/BTech/MCA, with web development experience, ranging from rapid prototyping to building production-ready applications by applying key design principles

Skill Sets

• In-depth knowledge of web markup, including HTML5, CSS3, jQuery, Leaflet (or other interactive map libraries), and API integration
• Proficiency in client-side scripting and JavaScript frameworks such as Angular
• Strong back-end development skills using Spring Hibernate
• Experience working with relational database management systems such as PostgreSQL
• Familiarity with version control systems in GitHub
• Solid understanding of layout aesthetics and responsive design
• Ability to apply best practices in design principles related to UX, usability, reliability, and performance
• Strong problem-solving, time management, interpersonal, and communication skills
• Knowledge of unit testing frameworks

We are seeking an experienced Data Engineer to join our Artificial Intelligence and Digital Platforms team. The ideal candidate will bring strong technical expertise in building data pipelines and extracting valuable insights from complex datasets. The role involves developing, constructing, testing, and maintaining architectures that support data models and large-scale data-processing systems. This work will advance the organisation’s efforts in driving meaningful change across clean energy transitions, clean air initiatives, and climate action for a secure and sustainable society.

Responsibilities

• Designing, constructing, installing, testing, and maintaining highly scalable data management systems
• Ensuring systems meet business requirements and industry best practices
• Building high-performance, robust data pipelines
• Identifying opportunities for data acquisition and innovative uses of existing data
• Developing standard processes for data modelling, data mining, and pipeline development
• Integrating new data management technologies and software engineering tools into existing structures
• Collaborating with architects, researchers, and IT teams to achieve project goals
• Recommending strategies to improve data reliability, efficiency, and quality

Qualifications

Bachelor’s degree in computer science or a related field, with a keen interest in developing best-in-class data systems

Skill Set

• Proven experience in building end-to-end data pipelines for large-scale enterprise use cases and supporting machine learning model development
• Strong knowledge of database technologies (SQL and NoSQL), data modelling, and ETL processes
• Demonstrated ability to analyse requirements and translate them into effective data architectures and systems
• Proficiency in diagnosing and optimising database performance
• Excellent problem-solving and troubleshooting capabilities
• Strong communication skills, with the ability to engage effectively with both technical and non-technical stakeholders
• Interest in AI/ML and the aptitude to develop machine learning models
• Familiarity with spatial databases and GIS (preferred)